Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/11670
Title: | Adaptive Neuro-Fuzzy Inference System Based Control of Robotic Manipulators |
Authors: | Adhyaru, D. M. Patel, Jimit Gianchandani, Rishi |
Keywords: | Neural Network Fuzzy Logic Robot Conroller IC Faculty Paper Faculty Paper ITFIC002 |
Issue Date: | 10-Sep-2010 |
Publisher: | IEEE |
Citation: | International Conference on Mechanical and Electrical Technology-2010, (ICMET 2010), Singapore, Page No. 353-358 |
Series/Report no.: | ITFIC002-5 |
Abstract: | Robot manipulators have become increasingly important in the field of flexible automation. Through the years considerable research effort has been made in their controller design. In order to achieve accurate trajectory tracking and good control performance, a number of control schemes have been developed. Amongst these, ANFIS (Adaptive Neuro-Fuzzy Inference System) has provided best results for control of robotic manipulators as compared to the conventional control strategies. |
URI: | http://10.1.7.192:80/jspui/handle/123456789/11670 |
ISBN: | 978-1-4244-8100-2 |
Appears in Collections: | Faculty Papers, E&I |
Files in This Item:
File | Description | Size | Format | |
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ITFIC002-5.pdf | ITFIC002-5 | 1.66 MB | Adobe PDF | ![]() View/Open |
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